88 citations · 556 across the 36 of their papers we have counts for
6 papers · 1 filter
Adversarial Self-Paced Learning for Mixture Models of Hawkes Processes
Dixin Luo, Hongteng Xu, Lawrence Carin
We propose a novel adversarial learning strategy for mixture models of Hawkes processes, leveraging data augmentation techniques of Hawkes process in the framework of self-paced le…
Predicting Smoking Events with a Time-Varying Semi-Parametric Hawkes Process Model
Matthew Engelhard, Hongteng Xu, Lawrence Carin +3
Health risks from cigarette smoking -- the leading cause of preventable death in the United States -- can be substantially reduced by quitting. Although most smokers are motivated…
Superposition-Assisted Stochastic Optimization for Hawkes Processes
Hongteng Xu, Xu Chen, Lawrence Carin
We consider the learning of multi-agent Hawkes processes, a model containing multiple Hawkes processes with shared endogenous impact functions and different exogenous intensities.…
Benefits from Superposed Hawkes Processes
Hongteng Xu, Dixin Luo, Xu Chen +1
The superposition of temporal point processes has been studied for many years, although the usefulness of such models for practical applications has not be fully developed. We inve…
Learning Registered Point Processes from Idiosyncratic Observations
Hongteng Xu, Lawrence Carin, Hongyuan Zha
A parametric point process model is developed, with modeling based on the assumption that sequential observations often share latent phenomena, while also possessing idiosyncratic…
THAP: A Matlab Toolkit for Learning with Hawkes Processes
Hongteng Xu, Hongyuan Zha
As a powerful tool of asynchronous event sequence analysis, point processes have been studied for a long time and achieved numerous successes in different fields. Among various poi…